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Record W3198400109 · doi:10.1002/cpz1.230

Overview of the Therapeutic Applications of Stem Cell–Derived Exosomes: A Research and Commercial Perspective

2021· review· en· W3198400109 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Protocols · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMicrovesiclesExosomeExtracellular vesiclesEndocytic cycleReprogrammingStem cellNanotechnologyComputational biologyCell biologyBiologyCellmicroRNAEndocytosisMaterials science

Abstract

fetched live from OpenAlex

Progress in extracellular vesicle (EV) research over the past two decades has generated significant interest in using EVs in the biomedical field. Exosomes are a subgroup of EVs that comprise endocytic membrane-bound nanovesicles of 40 to 160 nm diameter. These vesicles have been shown to facilitate intercellular communication via the delivery of cellular molecules. There are currently several exciting applications for exosomes being developed in therapeutics, diagnostics, drug delivery, and cellular reprogramming. Stem cell-derived exosomes present the opportunity to harness the power of stem cells while circumventing several of the risks associated with their use. This review summarizes the recent developments in exosome technology and lends a prospective view to the future of exosome use and application in research and medicine. Through a review of relevant patent filings, recent literature, and ongoing clinical trials, a valuable overview of the field of exosomes is provided. © 2021 Wiley Periodicals LLC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.297
GPT teacher head0.514
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it